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Title:
effective map-matching on the most simplified road network
Author: Liu Kuien ; Li Yaguang ; He Fengcheng ; Xu Jiajie ; Ding Zhiming
Source: GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems
Conference Name: 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012
Conference Date: November 6, 2012 - November 9, 2012
Issued Date: 2012
Conference Place: Redondo Beach, CA, United states
Keyword: Algorithms ; Geographic information systems ; Global positioning system ; Mobile devices ; Motor transportation
Indexed Type: EI
ISBN: 9781450316910
Department: (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China; (2) University of Chinese Academy of Sciences Beijing 100049 China
Sponsorship: Google; Esri; Microsoft; Nokia; NVIDIA
Abstract: The effectiveness of map-matching algorithms highly depends on the accuracy and correctness of underlying road networks. In practice, the storage capacity of certain hardware, e.g. mobile devices and embedded systems, is sometimes insufficient to maintain a large digital map for map-matching. Unfortunately, most existing map-matching approaches consider little about this problem. They only apply to environments with information-rich maps, but turn out to be unacceptable for map-matching on simplified road networks. In this paper, we propose a novel map-matching algorithm called Passby to work on most simplified road networks. The storage size of a digital map in disk or memory can be greatly reduced after the simplification. Even under the most simplified situation, i.e., each road segment only consists of a couple of intersection points and omits any other information of it, the experimental results on real dataset show that our Passby algorithm significantly maintains high matching accuracy. Benefiting from the small size of map, simple index structure and heuristic foresight strategy, Passby improves matching accuracy as well as efficiency. © 2012 ACM.
English Abstract: The effectiveness of map-matching algorithms highly depends on the accuracy and correctness of underlying road networks. In practice, the storage capacity of certain hardware, e.g. mobile devices and embedded systems, is sometimes insufficient to maintain a large digital map for map-matching. Unfortunately, most existing map-matching approaches consider little about this problem. They only apply to environments with information-rich maps, but turn out to be unacceptable for map-matching on simplified road networks. In this paper, we propose a novel map-matching algorithm called Passby to work on most simplified road networks. The storage size of a digital map in disk or memory can be greatly reduced after the simplification. Even under the most simplified situation, i.e., each road segment only consists of a couple of intersection points and omits any other information of it, the experimental results on real dataset show that our Passby algorithm significantly maintains high matching accuracy. Benefiting from the small size of map, simple index structure and heuristic foresight strategy, Passby improves matching accuracy as well as efficiency. © 2012 ACM.
Language: 英语
Content Type: 会议论文
URI: http://ir.iscas.ac.cn/handle/311060/15820
Appears in Collections:软件所图书馆_会议论文

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Recommended Citation:
Liu Kuien,Li Yaguang,He Fengcheng,et al. effective map-matching on the most simplified road network[C]. 见:20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012. Redondo Beach, CA, United states. November 6, 2012 - November 9, 2012.
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